akaike_weights

Compare adequacy of different models by calculating their Akaike weights
and the associated evidence ratio.

A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

A Toolkit for Behavioral Scientists

akaike_weights function

<dl><dt>aic_values</dt>
<dd>a vector of AIC values</dd>
<dt>print_output_explanation</dt>
<dd>logical. Should an explanation about
how to read the output be printed? (default = TRUE).</dd></dl>

Arguments

Akaike Weights — akaike_weights

<dl>

<dt>aic_values</dt>
<dd>a vector of AIC values</dd>


<dt>print_output_explanation</dt>
<dd>logical. Should an explanation about
how to read the output be printed? (default = TRUE).</dd>

</dl>

akaike_weights: Akaike Weights

Description

Usage

Value

Arguments

Details

Examples